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Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures

View ORCID ProfileMatthew I. J. Raybould, View ORCID ProfileClaire Marks, View ORCID ProfileAleksandr Kovaltsuk, Alan P. Lewis, View ORCID ProfileJiye Shi, View ORCID ProfileCharlotte M. Deane
doi: https://doi.org/10.1101/2020.03.17.993444
Matthew I. J. Raybould
1Oxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB, UK
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Claire Marks
1Oxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB, UK
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Aleksandr Kovaltsuk
1Oxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB, UK
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Alan P. Lewis
2Data and Computational Sciences, GlaxoSmithKline Research and Development, Gunnels Wood Road, Stevenage, SG1 2NY, UK
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Jiye Shi
3Chemistry Department, UCB Pharma, 216 Bath Road, Slough, SL1 3WE, UK
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Charlotte M. Deane
1Oxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB, UK
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  • For correspondence: deane@stats.ox.ac.uk
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Abstract

The antibody repertoires of different individuals ought to exhibit significant functional commonality, given that most pathogens trigger a successful immune response in most people. Sequence-based approaches have so far offered little evidence for this phenomenon. For example, a recent study estimated the number of shared (‘public’) antibody clonotypes in circulating baseline repertoires to be around 0.02% across ten unrelated individuals. However, to engage the same epitope, antibodies only require a similar binding site structure and the presence of key paratope interactions, which can occur even when their sequences are dissimilar. Here, we investigate functional convergence in human antibody repertoires by comparing the anti-body structures they contain. We first structurally profile base-line antibody diversity (using snapshots from 41 unrelated individuals), predicting all modellable distinct structures within each repertoire. This analysis uncovers a high (much greater than random) degree of structural commonality. For instance, around 3% of distinct structures are common to the ten most diverse individual samples (‘Public Baseline’ structures). Our approach is the first computational method to provide support for the long-assumed levels of baseline repertoire functional commonality. We then apply the same structural profiling approach to repertoire snapshots from three individuals before and after flu vaccination, detecting a convergent structural drift indicative of recognising similar epitopes (‘Public Response’ structures). Antibody Model Libraries derived from Public Baseline and Public Response structures represent a powerful geometric basis set of low-immunogenicity candidates exploitable for general or target-focused therapeutic antibody screening.

Competing Interest Statement

Alan P Lewis is employed by GSK, and Jiye Shi is employed by UCB Celltech. Both companies discover and sell antibody therapeutics.

Footnotes

  • Fixed non-definition of some acronyms. Fixed visual artifacts caused by transparent figure backgrounds.

  • http://opig.stats.ox.ac.uk/resources

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted April 21, 2020.
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Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures
Matthew I. J. Raybould, Claire Marks, Aleksandr Kovaltsuk, Alan P. Lewis, Jiye Shi, Charlotte M. Deane
bioRxiv 2020.03.17.993444; doi: https://doi.org/10.1101/2020.03.17.993444
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Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures
Matthew I. J. Raybould, Claire Marks, Aleksandr Kovaltsuk, Alan P. Lewis, Jiye Shi, Charlotte M. Deane
bioRxiv 2020.03.17.993444; doi: https://doi.org/10.1101/2020.03.17.993444

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